An adaptive MCMC method for Bayesian variable selection in logistic and accelerated failure time regression models
Work
Year: 2021
Type: article
Abstract: Bayesian variable selection is an important method for discovering variables which are most useful for explaining the variation in a response. The widespread use of this method has been restricted by... more
Source: Statistics and Computing
Authors Kitty Wan, Jim E. Griffin
Institutions Novartis (Switzerland), University College London
Cites: 45
Cited by: 8
Related to: 10
FWCI: 0.888
Citation percentile (by year/subfield): 85.98
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
APC paid (est): $2,690